An Introduction to Optimization Techniques in Computer Graphics
Résumé
Background: Many students in Computer Science do not have a sufficient background in applied mathematics to employ state-of-the-art optimization techniques and to judge the outcome of such techniques critically (e.g. regarding the stability/quality/accuracy of their output). At the same time, the use of optimization techniques in computer graphics is becoming ubiquitous. Treating optimization algorithms as a black box yields sub-optimal results at best. At worst, stability issues and convergence problems may prevent the solution of a problem or impede the general application of a method to a wide range of input, i.e. beyond the set of examples shown in a paper. The course will draw attention to these aspects and to current best practices. This will enable participants to judge articles that use optimization schemes critically and improve their own skill set.
Fichier principal
04_variational_methods.pdf (5.74 Mo)
Télécharger le fichier
01_least_squares.pptx (5.24 Mo)
Télécharger le fichier
02_numerical_linalg.odp (4.51 Mo)
Télécharger le fichier
03_inverse_problems.pptx (42.15 Mo)
Télécharger le fichier
05_compressive_sensing.pdf (12.07 Mo)
Télécharger le fichier
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|
| Format | Autre |
|---|
| Format | Autre |
|---|
| Format | Autre |
|---|
| Origine | Fichiers produits par l'(les) auteur(s) |
|---|